Lyzr.ai Features

Provides personalized responses to interlocator based on segmentation or past responses.

Has tools (e.g. dashboards and reports) to better understand conversations Intelligent Virtual Assistants have had.

Can have a natural, human-like conversation with an interlocator.

Manage and support multiple languages

Customize your chat workflows with rules and automations.

Control who the chatbot converses with (and when).

Has the ability to connect interlocator with a human agent when the need arises.

Can provide interlocators with menus, through which they can choose a relevant response.

Can send triggered sequence of automated messages sent on a predefined schedule in a targeted fashion.

Allows business to edit conversations to meet the unique needs of one's business.

Gives users the ability to update systems, like CRM, based on conversations.

Allows users to maintain and observe the accuracy and viability of Intelligent Virtual Assistants.

Editing tool that allows users to drag and drop images, icons, widgets, or other components

Agents pause for human input at key steps and hand off tasks when beyond their confidence or authority.

Provide tools for live chat on one's website.

Allows easy integrations with applications, such as messenger applications, APIs, and customer support tools.

Has the ability to customize look and feel of chatbot to match` company branding.

Gives user the ability to analyze conversations with the chatbot and see its performance.

Allows users to test the efficacy of various responses through A/B testing.

Allows for varying access to chatbot and admin settings, depending on user, their role, etc.

Can collect and store information from interlocators, such as email, phone number, etc.

Analyze data and automatically generate insights using AI/ML technologies

Copy on the page or chat window encouraging the user to engage with the chat option

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Use AI to generate content in the form of text, images, videos, etc.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Ensures that the service is reliable and available when needed, minimizing downtime and service interruptions.

Allows the user to scale the training of models efficiently, making it easier to deal with larger datasets and more complex models.

Provides the user the ability to get quick and low-latency responses during the inference stage, which is critical for real-time applications.

Provides the user with access to dedicated GPU or accelerated compute resources for training and inference, allowing capacity to scale with demand.

Offers the user a transparent pricing model for API calls, enabling better budget planning and cost control.

Provides the user the ability to allocate computational resources based on demand, making it cost-effective.

Offers the user the flexibility to deploy across multiple cloud providers, reducing the risk of vendor lock-in.

Provides the user the ability to seamlessly connect with various data sources and pipelines, simplifying data ingestion and pre-processing.

Allows the user to easily integrate the generative AI models into existing workflows and systems via APIs.

Allows the user to deploy the infrastructure on-premises or in a hybrid configuration, supporting data residency and compliance requirements.

Helps the user maintain compliance with GDPR and other data protection regulations, which is crucial for businesses operating globally.

Allows the user to set up access controls based on roles within the organization, enhancing security.

Provides the user with comprehensive and clear documentation, aiding in quicker adoption and troubleshooting.

Allows the user to gauge the level of community support and third-party extensions available, which can be useful for problem-solving and extending functionality.

Allows users to automate responses to customer inquiries across various channels.

Allows users to automate responses to customer inquiries across various channels.

Allows users to automate the process of generating and qualifying sales leads.

Allows users to automate the handling, processing, and management of documents.

Provides users the ability to automate the collection and analysis of feedback from customers, employees, or other stakeholders.

Process and analyze human language in text or audio form

Generative AI can generate synthetic data and simulate scenarios for training and testing purposes.

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Provides the AI agent the ability to execute tasks without requiring constant user input.

Allows the AI agent to identify and resolve issues without user intervention.

Supports configuration using natural language instructions.

Allows users to customize the tone of agent.

Enables definition of clear security guardrails for agent actions.

Protect APIs from threats using authentication, access control and encryption

Protect sensitive data for digital privacy

Verify the identity of users/devices to enable secure access

Provides support across web, mobile, messaging apps, and other channels.

Allows customization of agent branding, including visual appearance and conversational style.

Equips agents with proactive response capabilities based on predefined triggers.

Supports various file formats

Processing different types of input like text, voice, images etc.

Provides analytics and reporting on agent performance and interactions.

Offers agents the ability to maintain contextual awareness across interactions.

Ensures compliance with data privacy and governance requirements.

Automates workflows and actions based on agent responses.

Allows the use of APIs for advanced agent configuration.

Enables interoperability with multiple platforms for unified experiences.

Allows integration with CRM data to ground agent responses in business context.

Set up connections to third-party platforms to improve business processes

Allows users to automate responses to sales leads across various channels.

Provides users the ability to automate the collection and analysis of feedback from customers, employees, or other stakeholders.

Allows users to automate the handling, processing, and management of documents.

Allows users to automate the process of generating and qualifying sales leads.

Allows users to automate responses to customer inquiries across various channels.

Allows the AI agent to identify and resolve issues without user intervention.

Provides the AI agent the ability to execute tasks without requiring constant user input.

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Allows the AI agent to schedule and automate follow-ups based on prospect engagement.

Provides users the ability to prioritize outreach efforts based on lead scoring or engagement metrics.

Enables the AI agent to automate outreach across multiple channels, such as email, SMS, and social media.

Allows the AI agent to tailor outreach messages based on customer profiles or past interactions.

Allows the AI agent to enhance inbound lead profiles by gathering additional information from external sources.

Allows the AI agent to route inbound inquiries to the appropriate team or individual based on context.

Provides users the ability to automate the collection and analysis of feedback from customers, employees, or other stakeholders.

Enables the AI agent to respond instantly to inbound inquiries, improving response times.

Enables the AI agent to assess inbound leads and determine their sales readiness.

Allows users to automate the handling, processing, and management of documents.

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Provides the AI agent the ability to execute tasks without requiring constant user input.

Provides an AI agent that is able to make decisioning independently.

Allows the AI agent to identify and resolve issues without user intervention.

Provides users with automated updates on ticket progress and resolution timelines.

Enables the AI agent to classify and prioritize tickets based on issue type and urgency.

Allows the AI agent to route tickets to the appropriate team or individual for resolution.

Allows the AI agent to automatically generate tickets from user inquiries or issues.

Enables the AI agent to retrieve and apply solutions from an IT knowledge base.

Enables the AI agent to automate repetitive IT tasks, such as password resets or software installations.

Allows the AI agent to diagnose and resolve IT issues without human intervention.

Provides users with instant, automated guidance to resolve common IT problems.

Allows the AI agent to identify and address potential IT issues before they escalate.

Accurately interprets complex, multi-step natural language prompts to understand user intent.

Effectively builds the necessary backend workflows, processes, and database schemas from the prompt.

Generates a visually appealing, logical, and user-friendly interface based on the user's description.

Maintains context throughout a conversational building process, understanding follow-up commands and refinements.

The architecture of the generated application is sound and capable of scaling to meet business needs.

The generated application is functional and ready for use with minimal-to-no manual intervention.

Allows for easy modification and customization of the generated application's visual design and branding.

Provides robust and straightforward capabilities for connecting to external databases and third-party APIs.

Lets teams configure execution order and dependencies among AI components, ensuring workflows run smoothly and logically.

Streamlines the management of multiple AI models and agents by bringing them together into cohesive, automated workflows for complex business tasks.

Connects with a wide array of AI model APIs and external services, regardless of provider, within a single orchestration platform.

Enables the construction of sophisticated, multi-step AI workflows that combine specialized models for end-to-end process automation.

Integrates seamlessly with enterprise platforms such as CRMs, databases, and business applications for unified data and process flow.

Supports the setup of live data pipelines that move information instantly between AI components and enterprise systems.

Offers comprehensive dashboards to visualize KPIs and performance metrics for all orchestrated AI workflows.

Generates in-depth reports on workflow performance, resource consumption, and the overall business impact of AI orchestration.

Tracks and displays resource usage across all AI components, enabling proactive performance tuning and troubleshooting.

Dynamically manages and allocates computational resources, including GPU clusters, to maximize efficiency based on current workflow needs.

Scales AI workloads up or down automatically, adapting to fluctuations in processing demands and user traffic.

Provides insights into data flow, processing times, and success rates for each individual AI component within a workflow.

Ensures all AI workflows adhere to relevant regulatory standards and industry requirements.

Empowers organizations to enforce governance policies and compliance controls across orchestrated AI operations.

Facilitates the setup of role-based permissions and approval workflows for sensitive AI operations and deployments.

Maintains comprehensive logs and audit trails of workflow executions to support compliance and troubleshooting efforts.

Applies robust security protocols and policies to protect sensitive AI deployments and data flows.

Helps to engage employees through natural-language dialog to answer HR questions and guide workflows.

Interacts fluently across multiple languages and regions, adapting tone and HR context.

Helps perform end-to-end HR tasks like onboarding, leave approvals, or resume screening with minimal guidance.

Supports analysis sentiment and behavior data to signal disengagement or flight risk.

Automatically enforce local regulation and company policy during HR workflows.

Helps fetch data from HRIS, ATS, payroll, ERP, and external sources to inform agent actions.

Initiate timely prompts like nudges for development, simulated difficult conversations, or manager reminders.

Helps routing complex or critical decisions to humans, keeping oversight central to operations.

Automates the evaluation of applicants by matching resumes to job requirements and shortlisting top candidates.

Autonomously schedules interviews, follows up with candidates, and manages communication.

Offer modular packages that allow developers to selectively include AI capabilities within applications

Enable integration of AI features across web, mobile, desktop, or server-side environments

Provide language-specific libraries that enable developers to integrate AI functionality into applications

Enable developers to connect to and switch between multiple AI models within applications

Support streaming outputs or real-time responses from AI models within applications

Abstract direct AI model API calls through simplified SDK methods and functions

Capture logs or telemetry to monitor AI interactions and application behavior

Support authentication mechanisms such as API keys, tokens, or service credentials for secure integration

Provide built-in mechanisms for handling API failures, timeouts, and automatic request retries

Allow developers to extend SDK functionality with custom logic, plugins, or integrations

Provide structured abstractions that help developers design AI-powered workflows within applications

Enable developers to build AI agents capable of invoking tools, APIs, or application functions

Determines optimal message delivery times per user

Runs & optimizes experiments without manual setup

Ingests behavioral & transactional data for real-time decisioning

Connects with CRM & customer data platforms for unified data access

Set up connections to third-party platforms to improve business processes

Analyzing historical and current data and generating a model to help predict future outcomes.

Initiates campaigns based on real-time user actions

Creates audience segments using machine learning predictions

Automate workflows and trigger campaigns based on customer actions

Generates and edits text using machine learning

Builds & launches campaigns without manual workflow configuration

Translates marketing goals into structured campaign strategies automatically

Coordinates messaging across email, SMS, & other channels

Enables campaign creation using natural language prompts

Adjusts campaign execution dynamically based on engagement & performance data

Refines content continuously based on engagement signals

Generates channel-specific marketing content using AI models

Tailors messaging dynamically to individual user attributes

Use AI to generate content in the form of text, images, videos, etc.

Manage the process of attracting and converting business prospects into leads

Perfecting the ads according to audience by adding relevant images, CTA buttons, keywords and more.

Check text for proper grammar usage

Track and interpret campaign performance metrics

Used by marketers and advertisers

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Assists in the ideation process for creating new content, including themes, content types, titles and more

Review data from past periods to reveal recurring tendencies and predict future performance

Send promotional campaigns or transactional messages via text messages

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Create and send email blasts/campaigns

Communicate using direct chat or messages within the system

View and track pertinent metrics to find patterns and gain insights from data

Track activity of your competitors

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Publish and distribute content to targeted audiences

Application programming interface that allows for integration with other systems/databases

Predict future data based on historical data sets

Adjust communications based on previous interactions or personal preferences

Create, save, and re-purpose templates for emails, forms, etc.

Track and analyze user behavior within a system or network

Software program that continuously adjusts its behavior based on observed data

Edit text as needed

Provides a channel for team members to share media files, communicate, and work together

Assembly of graphs and charts for visualizing and tracking statistics/metrics

Create a collection of marketing actions to complete specific goals and plan and analyze campaign results

Optimize and manage the search engine optimization efforts for a website or digital content

Process and analyze human language in text or audio form

Product suggestions provided to users based on past behavior and relevant data, such as browsing and purchasing history

Choose the desired tone for content to be generated

AI-based platform which conducts a conversation via auditory or textual methods

Platforms that assist marketers in identifying relevant keywords for their content, websites, or advertising campaigns

Plan, track, and evaluate marketing activities including promotions, customer outreach, and branding

Provides centralized location and shareable capabilities for storage, distribution, and editing of brand guidelines

Using different methods or channels to connect with customers

Multiple agents work together, share tasks, and coordinate to achieve common goals.

Collection of processes, policies, and standards to manage the storage & usability of enterprise data

Process of carefully designing and constructing prompts or input instructions to achieve desired behaviors or outputs from AI models

Collecting, analyzing, and utilizing feedback from users or customers to improve a product or service

Build applications without the use of code

Track revisions and updates made to files and navigate between different versions

Set & manage permission levels based on user roles and restrict access to only authorized individuals

Model the varying behavior of a system over time through diagrams

Application programming interface that allows for integration with other systems/databases

Store and save retrievable data

Observe and track the demand, usage, progress or quality of a system, product, or user

Manage a growing amount of work to meet increased demand without compromising performance

Manage budgets, track and optimize spending and align capacity to workload demand

Plan availability and assign specific time slots for tasks and resources

Interact with agents using conversational language

Define levels of authorization for access to specific files or systems

Ability to interact with various large language models, such as GPT-4, Claude 3, Gemini, Llama 3, and more

Identify which applications need to exchange data and enable these data connections

Flexible architecture allowing tailored configurations

Pre-defined templates within a library for common cases such as contracts, websites, emails, and more

Tools for the systematic analysis of various types of data or statistics

Helps understand a user's intentions/actions

Interprets what a user is doing based on context and helps guide them through the process.

Automates and streamlines business processes by creating a sequence of predefined rules and actions that govern the flow of work

Bots that work alongside humans on tasks that cannot be fully automated

Assemble applications and processes by dragging over and arranging pre-built components

Used as a promotional or demonstration tool in sales and marketing presentations

Use AI to generate content in the form of text, images, videos, etc.

Helps automate and manage information, tasks, and procedures by establishing routines and patterns associated with processes

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Set up connections to third-party platforms to improve business processes

Allows communication with customers or users via multiple channels such as phone, email, live chat, etc.

Categorize emotions expressed in written text or images and identify if they are positive, negative or neutral

Artificial neural networks using multiple layers of processing are used to extract progressively higher level features from data.

Assemble applications and bots from pre-made building blocks without having to write software code or knowing a programming language

Track and manage adherence to policies for any service, product, process, or supplier

Automatic reply functionality for incoming messages

Gather, organize, share, and analyze knowledge in terms of resources, documents, and people skills

Transfer queries and organize messages between agents

Adjust communications based on previous interactions or personal preferences

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Track and understand a customer's overall satisfaction with a product or service to identify areas of improvement.

Program systems that assist users with their daily administrative responsibilities

AI-based platform which conducts a conversation via auditory or textual methods

Train your system to interpret and transcribe voice messages

View and track pertinent metrics to find patterns and gain insights from data

Create, manage and track all task activities and progression

Initiate interactions with customers by proactively starting conversations or providing informational content

Software program that continuously adjusts its behavior based on observed data

Configure existing workflows to meet your organization's needs

Automate processes from start to finish without human assistance

Recording, transcription, and analysis of sales calls for the purpose of training and generating insights

Streamlining repetitive tasks and activities through automated and predefined workflows

Managing and resolving errors that occur during program execution to maintain stability

Track revisions and updates made to files and navigate between different versions

Manage a growing amount of work to meet increased demand without compromising performance

Adjust communications based on previous interactions or personal preferences

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

Event-driven HTTP callback that automatically sends real-time data between applications

Application programming interface that allows for integration with other systems/databases

Process and analyze human language in text or audio form

Automatically switching to secondary AI model(s) during failure or hallucinations

Assemble applications and processes by dragging over and arranging pre-built components

Ability to interact with various large language models, such as GPT-4, Claude 3, Gemini, Llama 3, and more

Chatbot or AI assistant that answers queries and provides recommendations within an application

Execution of software tests by leveraging automation tools

Collection of processes, policies, and standards to manage the storage & usability of enterprise data

Provides a channel for team members to share media files, communicate, and work together

Pre-defined templates within a library for common cases such as contracts, websites, emails, and more

Designing how agent will communicate, take decisions and behave in different scenarios via flowcharts, scripts, or visual editors

Artificial neural networks using multiple layers of processing are used to extract progressively higher level features from data.

Process of testing an ML algorithm by feeding it training data to learn from

Tools for the systematic analysis of various types of data or statistics

Allow users to access multiple services after entering their login credentials once

Detect and remove errors

Manage the processes involved when making the application ready for use

Managing and resolving errors that occur during program execution to maintain stability

Tool to send questionnaires to customers to gauge feedback

Score a lead on their quality or likelihood to buy based on certain behaviors

View messages sent by both parties during the chat conversation

Identify different languages

Existing bot models for AI-based tools commonly used for auditory and textual conversation methods

Automatically identify and save contact information of potential customers

Assemble applications and bots from pre-made building blocks without having to write software code or knowing a programming language

Process and analyze human language in text or audio form

Manage and support multiple languages

Used as a promotional or demonstration tool in sales and marketing presentations

Interprets what a user is doing based on context and helps guide them through the process.

Automatic reply functionality for incoming messages

Provide online support for your customers through live chat or help desk functionality

AI-based platform which conducts a conversation via auditory or textual methods

Helps understand a user's intentions/actions

Categorize emotions expressed in written text or images and identify if they are positive, negative or neutral

Track and understand a customer's overall satisfaction with a product or service to identify areas of improvement.

See options for potential search queries within the system

Transfer queries and organize messages between agents

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Shortcuts for inputting frequently used messages

Software program that continuously adjusts its behavior based on observed data

Allows communication with customers or users via multiple channels such as phone, email, live chat, etc.

Tickets are automatically assigned to specific agents based on predefined rules

Streamlining repetitive tasks and activities through automated and predefined workflows

Collecting, analyzing, and utilizing feedback from users or customers to improve a product or service

Proactively detect errors or bugs, delivering actionable and team-oriented suggestions for remediation

Track and interpret metrics on the usage of company resources

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Track and manage adherence to policies for any service, product, process, or supplier

Store, manage, and track all electronic documents in a centralized location

Online portal through which end users can access the system, manage tasks, or obtain information

Completes tasks independently without constant human intervention

View and track pertinent metrics to find patterns and gain insights from data

Maintain security, compliance, and data privacy protocols for all interactions

Addition of necessary external data, applications, tools, or features

Agents pause for human input at key steps and hand off tasks when beyond their confidence or authority.

Allows the AI agent to tailor outreach messages based on customer profiles or past interactions.

Process and analyze human language in text or audio form

Utilize NLP or speech recognition to understand conversational requests and provide accurate, context-aware responses

Manage and support multiple languages

Embed/link applications into third party software so it can be accessed within a third party system

Predict future data based on historical data sets

Define and manage the persona, response style, and functional scope of AI agents to suit different use cases and business processes.

Intuitive interface and user-friendly design which seamlessly integrate with existing workflows

Manage incidents related to outages or breaches in functionality of IT systems

Tickets are automatically assigned to specific agents based on predefined rules

Set and monitor service level agreements to ensure timely response and resolution

Connect to organizational knowledge repositories and databases

Allow customers/users to submit support queries and service requests

Streamlining repetitive tasks and activities through automated and predefined workflows

Ability to learn and adapt from interactions with environment and data, and to model varying behavior over time.

Manage a growing amount of work to meet increased demand without compromising performance

Integration with third-party CRM systems

Allow users to design the agent's trusted role, tone, and capabilities to suit specific sales workflows

Support outbound and inbound sales processes autonomously while ensuring high-quality lead engagement

Allows the AI agent to schedule and automate follow-ups based on prospect engagement.

Manage the process of attracting and converting business prospects into leads

Allows the AI agent to route inbound inquiries to the appropriate team or individual based on context.

Allows for businesses to run a variety of different campaigns across different channels

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Allows users to track and analyze the effectiveness of automated outbound campaigns.

Allows users to automate responses to customer inquiries across various channels.

Allows the AI agent to identify and resolve issues without user intervention.

Automatically handle routine, repetitive tasks and processes without the need for manual intervention

Provides users the ability to prioritize outreach efforts based on lead scoring or engagement metrics.

Send and receive messages in real-time via an online communication channel

Allows users to automate responses to sales leads across various channels.

Combines data from internal sources with disparate data from other internal systems or external sources

Planning out the structure and duration of repetitive intervals of time dedicated to specific tasks during the development cycle

Effectively builds the necessary backend workflows, processes, and database schemas from the prompt.

Accurately interprets complex, multi-step natural language prompts to understand user intent.

Build unique software tools based on your specific requirements

Produce both frontend user interfaces and backend logic

Connect to databases, web services, or APIs for robust data integration

Interprets what a user is doing based on context and helps guide them through the process.

Design, modify, and organize how content is displayed on a system interface

Allows for easy modification and customization of the generated application's visual design and branding.

The generated application is functional and ready for use with minimal-to-no manual intervention.

Integrate with core HR systems such as HRIS, ATS, knowledge bases, and payroll software

Define a process for transferring calls/tickets to management

Provide proactive or multi-step task support, not only reactive conversational responses

Initiate timely prompts like nudges for development, simulated difficult conversations, or manager reminders

Automates the evaluation of applicants by matching resumes to job requirements and shortlisting top candidates

Automatically enforce local regulation and company policy during HR workflows.

Autonomously schedules interviews, follows up with candidates, and manages communication

Helps routing complex or critical decisions to humans, keeping oversight central to operations

Autonomously perform or assist with HR tasks across the employee lifecycle

Score a lead on their quality or likelihood to buy based on certain behaviors

Automate processes to manage leads, contacts, opportunities and sales activities

Allows the user to access and route between multiple third-party or open-source models rather than being limited to a single provider.

Allows the user to fine-tune or customize models on their own data for specific use cases.

Provides the user with access to a catalog of pre-trained, ready-to-deploy models to accelerate development.